Our Vision
We’re building Ridge AI help you understand, share and act on data. Ridge draws on years of research into visualization and cognition to build shared data experiences that are fast, natural, interactive, and composable.
.avif)
Fast.
Bad performance has inhibited data on the web since there was data and since there was a web. When we know people expect sub-second response times online, why do we expect them to spend time with laggy data interfaces?
Drawing on developments in browser-based technology and new research, we’re committed to delivering interactive data experiences that are an order of magnitude more performant than prior generations of technology.
Natural.
Data experiences should be as accessible and compelling as video or a well-built website. And yet today it’s virtually impossible for most people to show value or share stories with data because it requires specialized skills, knowledge and frameworks.
For builders, Ridge guides you in designing analytics that answer business questions. No learning curves, no fiddly product interfaces, no dedicated analytics team required.
For end-users, Ridge provides a compelling, easy-to-use experience: big-picture visual storytelling paired with a natural-language data agent to answer follow-up questions.
Interactive.
Within a data story are many sub-stories. These stories are told (or discovered) through exploring the data.
Ridge AI uses breakthroughs in browser-based analytics, including the Mosaic open source library, to serve interactive analytics in milliseconds. That fundamentally changes how people work with data. In Ridge, that interactivity extends to an AI-based data agent, solving one of the longest-standing problems in analytics: the dead-end dashboard.
With Linked Interactivity, the dashboard affordances can be applied to one or more questions in the Data Agent, making both experiences more powerful.
Composable.
Ridge AI integrates easily with other systems so that you have analytics wherever and whenever you need them. Ridge supports three types of integrations:
Host application
Data is most effective when it’s alongside everyday work. Ridge is designed so that the embedded data becomes an integral part of the host, interleaved into the user experience.
Ridge's Embedding SDK supports theming, permissioning, and setting filters and selections.
Data stack
Ridge respects semantics and governance that you’ve defined centrally.
Ridge's browser-based architecture also makes serving analytics much more cost-effective than products that push compute down to the database layer, since computation happens in the user's browser.
Action and context
When you need to get context from or take action in other applications, Ridge's APIs let you do that.
- Share to or get context from Slack.
- Get context about transformations and data provenance from dbt.
- Take action in a workflow application.